AI/ML Software Engineer

Cooperidge Consulting Firm•Sarasota, FL

10d

About The Position

Cooperidge Consulting Firm is seeking an AI/ML Software Engineer for a leading Defense & Intelligence Technology innovator in Sarasota, FL. This role is designed for a high-drive engineer with a deep foundation in machine learning and its practical application to complex signal processing and SIGINT (Signals Intelligence). You will be responsible for designing and deploying AI/ML solutions that address critical decision-making needs for the Department of Defense and the Intelligence Community. From analyzing time-series data to developing autonomous sensing systems, you will build adaptive, secure architectures capable of discovering features and inferring system states in dynamic, real-world environments.

Requirements

Bachelor’s degree (BS) or higher in Computer Science, Electrical Engineering, Math, or a related field.
ACTIVE TS/SCI Clearance is REQUIRED.
U.S. Citizenship is REQUIRED.
Minimum of 1 year of professional AI/ML experience (3–5 years highly preferred).
Strong knowledge of model development and deployment using TensorFlow, PyTorch, or scikit-learn .
Experience with Neural Network architectures , including Deep Learning and Transformers/Attention mechanisms.
Solid programming background with exposure to statistical and signal analysis libraries.
Mastery of MLOps principles, including processing pipelines and validation protocols.

Nice To Haves

Understanding of Digital Signal Processing (DSP) fundamentals and RFML .
Experience with LLMs , fine-tuning, prompt engineering, and RAG/Agentic systems.
Familiarity with containerization ( Docker/Kubernetes ) and Cloud AI platforms ( AWS Bedrock, Vertex AI , etc.).
Knowledge of adversarial ML and AI security/robustness techniques.

Responsibilities

Design and implement AI/ML solutions for event characterization, pattern recognition, and anomaly detection within SIGINT sensor systems.
Develop and enable autonomous decision-making systems that operate with minimal human intervention in complex environments.
Partner with team leads to integrate ML capabilities into enterprise-level architectures, prioritizing performant processing and system maintainability.
Work with time-series data to develop models for automated analysis and intelligent insights in support of critical national security missions.
Oversee the deployment and processing pipelines, ensuring rigorous testing, validation, and security of all model deployments.
Infer system states from underlying data streams and create adaptive processing systems for large-scale sensing platforms.